P. Montesinos

Papers

Total Citations

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About

P. Montesinos is a leading researcher in the application of artificial intelligence to water resource management, with a particular focus on agricultural sustainability. His most influential work, "Irrigation Demand Forecasting Using Artificial Neuro-Genetic Networks" (2015), has garnered 29 citations and stands as a cornerstone in the field of precision irrigation. In this study, Montesinos pioneered the integration of artificial neural networks with genetic algorithms to create a hybrid model that significantly improves the accuracy of short-term irrigation demand predictions. This contribution addresses a critical challenge in water-scarce regions, enabling farmers and water authorities to optimize water allocation, reduce waste, and enhance crop yields. Beyond this landmark paper, his broader research explores the intersection of computational intelligence, hydrology, and environmental engineering. Montesinos’s work is notable for its practical, data-driven approach, offering scalable solutions for real-world agricultural systems. His achievements have positioned him as a key figure in the movement toward smart, sustainable farming, and his models continue to influence both academic research and applied water management strategies globally.